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arXiv · 2507.02124

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan

Fumikazu Konishi
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Abstract

SAKURAONE is a managed high performance computing (HPC) cluster developed and operated by the SAKURA Internet Research Center. It reinforces the ``KOKARYOKU PHY'' configuration of bare-metal GPU servers and is designed as a cluster computing resource optimized for advanced workloads, including large language model (LLM) training. In the ISC 2025 edition of the TOP500 list, SAKURAONE was ranked \textbf{49th} in the world based on its High Performance Linpack (HPL) score, demonstrating its global competitiveness. In particular, it is the \textbf{only system within the top 100} that employs a fully open networking stack based on \textbf{800~GbE (Gigabit Ethernet)} and the \textbf{SONiC (Software for Open Networking in the Cloud)} operating system, highlighting the viability of open and vendor-neutral technologies in large-scale HPC infrastructure. SAKURAONE achieved a sustained performance of 33.95~PFLOP/s on the HPL benchmark (Rmax), and 396.295~TFLOP/s on the High Performance Conjugate Gradient (HPCG) benchmark. For the HPL-MxP benchmark, which targets low-precision workloads representative of AI applications, SAKURAONE delivered an impressive 339.86~PFLOP/s using FP8 precision. The system comprises 100 compute nodes, each equipped with eight NVIDIA H100 GPUs. It is supported by an all-flash Lustre storage subsystem with a total physical capacity of 2~petabytes, providing high-throughput and low-latency data access. Internode communication is enabled by a full-bisection bandwidth interconnect based on a Rail-Optimized topology, where the Leaf and Spine layers are interconnected via 800~GbE links. This topology, in combination with RoCEv2 (RDMA over Converged Ethernet version 2), enables high-speed, lossless data transfers and mitigates communication bottlenecks in large-scale parallel workloads.

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Fumikazu Konishi. 2025-07-02. SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan. https://arxiv.org/abs/2507.02124

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